Automated Organization ProfileFraunhofer Institute for Building Physics
Fraunhofer Institute for Building Physics
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 9.4 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The MUSKLA database contains the photographs of four auditoriums taken during 2021 and 2024. The data was captured and curated in the "Person-focused Acoustics of Architectural Design" research group, a Junior Principal Investigator fellowship in RWTH Aachen University, at the Institute for Hearing Technology and Acoustics (IHTA). Two types of photographs were taken in each hall: narrow-angle and spherical photographs. The dataset contains separate folders for each hall and for each photograph type. In the report at v1, the features of the photographs are described. Please note:Version V1 contains the spherical photographs and report in PDF format.Version V2 contains the narrow-angle photographs and cover images.
Authors
- Llorca-Bofí, Josep ;
- Heck, Jonas ;
- Atay, Gülnihan ;
- David Infantes López ;
- Vorlaender, Michael
The MUSKLA database contains the photographs of four auditoriums taken during 2021 and 2024. The data was captured and curated in the "Person-focused Acoustics of Architectural Design" research group, a Junior Principal Investigator fellowship in RWTH Aachen University, at the Institute for Hearing Technology and Acoustics (IHTA). Two types of photographs were taken in each hall: narrow-angle and spherical photographs. The dataset contains separate folders for each hall and for each photograph type. In the report at v1, the features of the photographs are described. Please note:Version V1 contains the spherical photographs and report in PDF format.Version V2 contains the narrow-angle photographs and cover images.
Authors
- Llorca-Bofí, Josep ;
- Heck, Jonas ;
- Atay, Gülnihan ;
- David Infantes López ;
- Vorlaender, Michael
The MUSKLA database contains the photographs of four auditoriums taken during 2021 and 2024. The data was captured and curated in the "Person-focused Acoustics of Architectural Design" research group, a Junior Principal Investigator fellowship in RWTH Aachen University, at the Institute for Hearing Technology and Acoustics (IHTA). Two types of photographs were taken in each hall: narrow-angle and spherical photographs. The dataset contains separate folders for each hall and for each photograph type. In the report at v1, the features of the photographs are described. Please note:Version V1 contains the spherical photographs and report in PDF format.Version V2 contains the narrow-angle photographs and cover images.
Authors
- Llorca-Bofí, Josep ;
- Heck, Jonas ;
- Atay, Gülnihan ;
- David Infantes López ;
- Vorlaender, Michael
Project: IEA EBC Annex 80 Resilient Cooling for Buildings - Weather data - The Annex 80 (https://annex80.iea-ebc.org/) is a project by the International Energy Agency - Energy in Buildings and Communities programme(https://www.iea-ebc.org/).The Annex 80’s main objective is to support a rapid transition to an environment where resilient low energy and low carbon cooling systems are the mainstream and preferred solutions for cooling and overheating issues in buildings. Resilient Cooling is used to denote low energy and low carbon cooling solutions that strengthen the ability of individuals and our community as a whole to withstand, and also prevent, thermal and other impacts of changes in global and local climates.Summary: This experiment collects the datasets created by the "Weather Data" group of the IEA EBC Annex 80 “Resilient Cooling for Buildings” project. These are datasets of current and future weather files for building energy performance simulation covering 15 locations in ten climate zones worldwide. The datasets contain ambient air temperature, relative humidity, atmospheric pressure, direct and diffuse solar irradiance, and wind speed at hourly resolution, which are essential climate elements needed to undertake building simulations. The datasets include typical and extreme weather years in the EnergyPlus weather file (EPW) format and multi-year projections in comma-separated value (CSV) format for three periods: historical (2001-2020), future mid-term (2041-2060), and future long-term (2081-2100). The weather files were generated based on the climate projections from the Regional Climate Model (RCM) MPI-RCA4, then bias-corrected using multiyear observational data for each city. The weather files are ready to be used in building energy simulations and systems design for adaptation and resilience studies.The EPW is a weather file format used to run simulations in EnergyPlus. EPWs are text files and can be opened and edited in any text editor, spreadsheet tools or open-source software tools for creating and editing customised weather files, such as the Element software developed by Big Ladder Software (https://bigladdersoftware.com/projects/elements/).The EnergyPlus Auxiliary Programmes document (attached Additional Info) describes EPW weather data and provides general information on weather data for energy simulations and weather file conversion.Funder:- The Assistant Secretary for Energy Efficiency and Renewable Energy, Building Technologies Office, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231- The Horizon 2020 project 0E-BUILDINGS, Grant agreement ID: 101024627- The Marie Skłodowska-Curie grant agreement Nº 101024627- The Fraunhofer Internal Programs under Grant No. Attract 003-695033- Det Energiteknologisk Udviklingsog Demonstrations Program (EUDP) under grant 64018-0578
Authors
- Machard, Anaïs ;
- Salvati, Agnese ;
- P.Tootkaboni, Mamak ;
- Gaur, Abhishek ;
- Zou, Jiwei ;
- Wang, Liangzhu ;
- Baba, Faud ;
- Ge, Hua ;
- Bre, Facundo ;
- Bozonnet, Emmanuel ;
- Corrado, Vincenzo ;
- Luo, Xuan ;
- Levinson, Ronnen ;
- Lee, Sang Hoon ;
- Hong, Tianzhen ;
- Salles Olinger, Marcelo ;
- Machado, Rayner Maurício e Silva ;
- Guarda, Emeli Lalesca Aparecida da ;
- Veiga, Rodolfo Kirch ;
- Lamberts, Roberto ;
- Afshari, Afshin ;
- Ramon, Delphine ;
- Hoang Ngoc, Dung Ngo ;
- Sengupta, Abantika ;
- Breesch, Hilde ;
- Heijmans, Nicolas ;
- Deltour, Jade ;
- Kuborn, Xavier ;
- Sayadi, Sana ;
- Qian, Bin ;
- Zhang, Chen ;
- Rahif, Ramin ;
- Attia, Shady ;
- Stern, Philipp ;
- Holzer, Peter
This dataset contains the following data: fVec.csv: the csv-file with all hemispherical integrals for each spherical harmonics base, sky region and the two slopes SensorPosition.csv: the csv-file with the positions and directions of the illuminance sensors on the workplane and eye level in the world coordinate system dfRaw.csv: the csv-file with all matrices Q,E,M for LiDICS model training dfRaw_3pm.csv: the csv-file with all the matrices Q,E,M for LiDICS model validation with 3-phase method dfRes.csv: the csv-file with all the results matrices S,P and key metrics r2 of all regression stages siops-Folder: the htlm-files with interactive 3D plots of all resulting solar incidence operators, name convention: "siop_" + quantityString + "_" + discreteFacadeInput + ".html"
Authors
- Weber, Simon Oskar ;
- Fang, Yuan ;
- Rüdisser, Daniel ;
- Leistner, Philip